Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
SHARE THIS:

10 years ago
Video: Deploying Predictive Models In Virgin Waters: Predicting Behavioral Health Readmissions

 This speaker session is from Predictive Analytics World, September 30-October 1, 2013 in Boston, MA: Healthcare Analytics Case Study: New Directions Behavioral Health Deploying Predictive Models In Virgin Waters: Predicting Behavioral Health Readmissions Deploying predictive modeling in an organization for the first time can be difficult. This is especially true in industries like behavioral healthcare that are driven more by anecdotes than data. Getting management buy-in, convincing skeptics and producing a finished product with tangible results can be a long and trying road. However, a well thought out plan executed with precision can lead an organization skeptical of

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.

 Fred Grunwald is the Vice President of Analytics at New Directions Behavioral Health where he manages the Analytics, Reporting and Claims Audit functions. Fred has led numerous Analytics efforts directed at improved outcomes and lower costs in the Behavioral Health market. These include lowering readmissions, increasing HEDIS™ scores, using patient mix to create comparative case rates for facilities, and identifying utilization differences using demographic lifestyle clusters. Fred has worked in health care for his entire career in both hospitals and payer settings. He has a Master of Business Administration degree from the University of Chicago and an undergraduate

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.